Ruilin Zhou

Software Engineer

**** ***** ***, ******** ** 60201

adav3b@r.postjobfree.com

224-***-****

Education

Northwestern University Sep 2019 to Dec 2020 (expected) Master of Electrical Engineering

Relevant Courses: Computer Vision, Biometrics, Machine Learning, Data Structure and Algorithms Beijing University of Posts and Telecommunications, Beijing, China July 2019 Bachelor of Science in Applied Physics GPA 86.79/100 Excellent Student Scholarship for 2016, 2017, 2018 Relevant Courses: C Programming, Data Structure, Fundamentals of Information Theory Skills and Tools

• Language: Python, Java, C,SQL, HTML, CSS

• Framework: Hadoop, Django, Spring, Angular

• Data: MongoDB, HBase, Spark, Mysql

• Machine learning: Pandas, Scikit-learn,

OpenCv, Pytorch

• Collaboration: Git

Experience

Wisutech (Auto Machine Learning Startup), Beijing, China, data engineer Mar. 2019– Jun 2019

• Built a big data platform based on Hadoop and Spark including 4 nodes to solve Terabyte data .

• Communicated with clients to decide the feature extracting process based on the business logic.

• Conducted exploratory data analysis(EDA),including assessing the quality of data, visualizing the distribution of variables with pandas, and assessing the correlationship of features.

• Used Spark, Hadoop and Shell to implement feature engineering including missing value population, one-hot encoding,removing redundant feature, extraction from timestamp data and data normalization.

• Built models(GBDT) for loan company clients to make decisions on loan applications. Built model(LR) for oil company clients to make prediction of oil sales.

• Evaluated the performance of the models with precision, recall and confusion matrix. Improved the performance of model by extracting better features.

Project

Research: Using Quantum Computing to solve graph isomorphic problem, University of South California,research assistant. Jun. 2018– Present

• Contributed to propose to solve graph isomorphic problem (classic computer science problem) using a new quantum annealing technique.

• Used python to interact with quantum computer (D-wave:first commercial quantum annealer).

• Successfully demonstrated the feasibility of use quantum annealing to distinguish graphs and prepared a draft to report this result

Research: Optimization performance for sensors based on ML, Beijing University of Posts and Telecommunications, research assistant. Jun. 2017-Jun.2018

• Contributed to construct a 7 layers neural network to predict the structure parameter that can produce the optimized transmission spectrum.

• Wrote code to gather examples uniformly from a transmission spectrum.

• Tuned the hyper parameter including learning rate and activation function, finally achieved 0.8729 precision on test sets.

Project: Built a Class Registration System Sep. 2019-Present

• Built a web application providing class registration based on spring MVC .

• Designed a front end interface with HTML and CSS based on Angular.

• Used Hibernate to provide better database operations . Publications

1.1.Q. Wang, R. Zhou, X. Wnag, Y. Guo, Y. Hao, M. Lei and K. Bi, “Wideband terahertz absorber based on mie resonance metasurfce”, AIP Advances 7, 115310, 2017.

2.S. Yu, T. Zhang, R. Zhou, J. Dai, Y. Zhou and K. Xu, “Performance optimization for plasmonic refractive index sensor based on machine learning”, 17th International Conference on Optical Communications and Networks (ICOCN 2018), Nov. 16-19, Zhuhai, China

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